Triple

T21115278
Position Surface form Disambiguated ID Type / Status
Subject Verna Bloom E520279 entity
Predicate givenName P17 FINISHED
Object Verna NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Verna | Statement: [Verna Bloom, givenName, Verna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verna
Context triple: [Verna Bloom, givenName, Verna]
  • A. Verna chosen
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • B. Ferminia
    Ferminia is a small genus of wrens in the family Troglodytidae, best known for the critically endangered Cuban endemic species Ferminia cerverai (the Zapata wren).
  • C. Kashia
    Kashia is an indigenous Pomoan language traditionally spoken by the Kashia Band of Pomo Indians in what is now coastal Sonoma County, California.
  • D. Lyonne
    Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
  • E. Dunaway
    Dunaway is the surname of acclaimed American actress Faye Dunaway, known for her iconic roles in films such as "Bonnie and Clyde" and "Network."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72105bd648190beecc636284397bd completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.